ASUS System Product Name
Geekbench AI Score
2609
Single Precision Score
1111
Half Precision Score
3623
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 28 2024 01:58 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-9700K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z390-E GAMING |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9700K |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 12 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1785
332.0 IPS |
|
|
Image Classification (HP)
|
100% |
390
72.5 IPS |
|
|
Image Classification (Q)
|
96% |
3393
633.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1130
18.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
622
10.1 IPS |
|
|
Image Segmentation (Q)
|
97% |
2035
33.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5682
6.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
4229
4.93 IPS |
|
|
Pose Estimation (Q)
|
86% |
10436
12.3 IPS |
|
|
Object Detection (SP)
|
100% |
1871
148.4 IPS |
|
|
Object Detection (HP)
|
100% |
448
35.6 IPS |
|
|
Object Detection (Q)
|
58% |
2242
245.0 IPS |
|
|
Face Detection (SP)
|
100% |
2953
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
947
11.3 IPS |
|
|
Face Detection (Q)
|
96% |
6151
73.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6575
50.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1473
11.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
7935
63.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9708
12.5 IPS |
|
|
Style Transfer (HP)
|
100% |
8779
11.3 IPS |
|
|
Style Transfer (Q)
|
87% |
12162
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1995
73.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1622
59.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2309
85.6 IPS |
|
|
Text Classification (SP)
|
100% |
1329
1.77 KIPS |
|
|
Text Classification (HP)
|
100% |
562
750.0 IPS |
|
|
Text Classification (Q)
|
97% |
1090
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1366
23.5 IPS |
|
|
Machine Translation (HP)
|
100% |
562
9.67 IPS |
|
|
Machine Translation (Q)
|
68% |
1615
31.2 IPS |
